1 00:00:02,440 --> 00:00:08,960 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news from. 2 00:00:08,800 --> 00:00:13,360 Speaker 2: Mark Hard We're Innovation, Money and Power Collie in Silicon. 3 00:00:12,960 --> 00:00:13,840 Speaker 3: Valley, NBN. 4 00:00:14,160 --> 00:00:17,440 Speaker 4: This is Bloomberg Technology with Caroline Hyde and. 5 00:00:17,640 --> 00:00:18,480 Speaker 5: Ed Love Love. 6 00:00:32,080 --> 00:00:34,440 Speaker 6: Live from New York and San Francisco. This is Bloomberg 7 00:00:34,479 --> 00:00:39,400 Speaker 6: Technology Broadcom. It's falling hard after a disappointing forecast despite 8 00:00:39,560 --> 00:00:41,519 Speaker 6: robust demands for AI products. 9 00:00:42,040 --> 00:00:44,760 Speaker 5: Tech stocks flirting with their worst week since twenty twenty 10 00:00:44,800 --> 00:00:47,680 Speaker 5: two ahead of Apple's big launch event, and the. 11 00:00:47,640 --> 00:00:51,080 Speaker 6: White House is targeting China again, planning a fresh round 12 00:00:51,120 --> 00:00:54,360 Speaker 6: of chip related export controls. We discussed, but first we 13 00:00:54,480 --> 00:00:57,560 Speaker 6: have some macro breaking news from the Federal Reserve and 14 00:00:57,600 --> 00:01:00,760 Speaker 6: the Mann To bring us the details is one McKee Bluemost, 15 00:01:00,800 --> 00:01:04,360 Speaker 6: Chief International Economic Suppose, the correspondent coming from FED speak. 16 00:01:04,680 --> 00:01:07,240 Speaker 7: Well, this is what everybody's been waiting for all day. 17 00:01:07,520 --> 00:01:10,200 Speaker 7: The job's number comes in at one forty two and 18 00:01:10,360 --> 00:01:12,840 Speaker 7: unemployment falls back to four point two. What will the 19 00:01:12,880 --> 00:01:15,360 Speaker 7: Fed do fifty or twenty five? We get a hint 20 00:01:15,400 --> 00:01:18,360 Speaker 7: from Chris Waller, the Federal Reserve governor, often seen as 21 00:01:18,440 --> 00:01:22,840 Speaker 7: the leading guide to FED activity, and he says today's 22 00:01:22,920 --> 00:01:26,600 Speaker 7: data show it's time to cut rates. Determining the pace 23 00:01:26,640 --> 00:01:29,480 Speaker 7: of rate cuts and ultimately the total reduction in the 24 00:01:29,480 --> 00:01:32,880 Speaker 7: policy rate are decisions that lie in the future. As 25 00:01:32,920 --> 00:01:35,640 Speaker 7: of today, I believe it is important to start the 26 00:01:35,720 --> 00:01:39,600 Speaker 7: rate cutting process at our next meeting. If subsequent data 27 00:01:39,600 --> 00:01:43,360 Speaker 7: show a significant deterioration in the labor market, the FOMC 28 00:01:43,480 --> 00:01:48,280 Speaker 7: can act quickly and forcefully to adjust monetary policy. Now, 29 00:01:48,360 --> 00:01:51,040 Speaker 7: while Waller says we are not in recession and it 30 00:01:51,080 --> 00:01:53,760 Speaker 7: doesn't necessarily look like we are going into recession, the 31 00:01:53,800 --> 00:01:56,760 Speaker 7: economy looks pretty strong. He says the risks are now 32 00:01:56,880 --> 00:02:01,960 Speaker 7: tilted towards the downside on growth, Inflation has gotten better. 33 00:02:02,280 --> 00:02:04,720 Speaker 7: He doesn't say whether it'll be fifty or twenty five, 34 00:02:04,760 --> 00:02:08,200 Speaker 7: but says that's a decision that's coming up team. 35 00:02:08,240 --> 00:02:10,240 Speaker 5: Once we get through the yield, show me the Nasdaq 36 00:02:10,280 --> 00:02:12,400 Speaker 5: one hundred, or show me the S and P five hundred, 37 00:02:12,400 --> 00:02:15,000 Speaker 5: and let's show our audience that the market's kind of 38 00:02:15,040 --> 00:02:18,399 Speaker 5: changed direction on those headlines. Mike, I want to read 39 00:02:18,440 --> 00:02:20,280 Speaker 5: one specific bit back to you, which is the current 40 00:02:20,280 --> 00:02:24,040 Speaker 5: batch of data no longer requires patients. It requires action, 41 00:02:24,800 --> 00:02:27,400 Speaker 5: but there's no size and scope to what action means. 42 00:02:27,440 --> 00:02:31,360 Speaker 5: We don't have a basis points number do we. 43 00:02:30,720 --> 00:02:32,360 Speaker 8: We don't, And that's a little bit odd. 44 00:02:32,440 --> 00:02:35,000 Speaker 7: And in the sense that Chris Waller goes on to 45 00:02:35,160 --> 00:02:39,280 Speaker 7: say that he was an advocate of front loading rate 46 00:02:39,400 --> 00:02:43,120 Speaker 7: increases when inflation went up, and if the data supported 47 00:02:43,520 --> 00:02:46,840 Speaker 7: he would be an advocate of front loading rate cuts. 48 00:02:47,760 --> 00:02:49,160 Speaker 8: What data is he talking about. 49 00:02:49,160 --> 00:02:51,760 Speaker 7: We really don't get much more before the next FED meeting, 50 00:02:51,880 --> 00:02:54,520 Speaker 7: So I'm not sure why he wasn't more specific, other 51 00:02:54,600 --> 00:02:57,160 Speaker 7: than perhaps he doesn't want the markets to get ahead 52 00:02:57,160 --> 00:02:58,200 Speaker 7: of themselves in pricing. 53 00:02:59,160 --> 00:03:03,160 Speaker 6: That's what markets do. They get ahead before dugging. Michael McKee, 54 00:03:03,440 --> 00:03:05,800 Speaker 6: just brilliant to have you on this market moving story. 55 00:03:05,840 --> 00:03:09,160 Speaker 6: We appreciate it. Let's get analysis from the market. Shannon 56 00:03:09,200 --> 00:03:12,240 Speaker 6: Sicil is with us for more, CEO of Bannery and 57 00:03:12,280 --> 00:03:16,320 Speaker 6: Capital Management, which helps independent advisors with alternative investing options. 58 00:03:16,520 --> 00:03:19,400 Speaker 6: And currently you've got four billion dollars under advice. And 59 00:03:19,919 --> 00:03:23,320 Speaker 6: I'm really interested into ultimately how much macro the FED 60 00:03:23,800 --> 00:03:27,280 Speaker 6: is guiding investment choices right now, or how much you 61 00:03:27,360 --> 00:03:31,480 Speaker 6: can think about AI and productivity and technology still winning out. 62 00:03:32,560 --> 00:03:35,040 Speaker 9: So I think you've got to think of those things 63 00:03:35,080 --> 00:03:40,000 Speaker 9: in two separate ways. Right there is the current economic 64 00:03:40,200 --> 00:03:45,760 Speaker 9: environment in which the FED has been tightening, They've been 65 00:03:45,840 --> 00:03:48,200 Speaker 9: raising rates for a while, they've tried to get inflation 66 00:03:48,440 --> 00:03:53,760 Speaker 9: under control. The ramifications of that is that it softens 67 00:03:53,880 --> 00:03:58,000 Speaker 9: labor markets, it slows growth. The goal, of course, is 68 00:03:58,040 --> 00:04:02,640 Speaker 9: for it to slow growth, not growth go negative, and 69 00:04:02,680 --> 00:04:05,840 Speaker 9: we're seeing that kind of play out because it's more 70 00:04:05,880 --> 00:04:10,160 Speaker 9: expensive to borrow money in the capital markets are reacting accordingly. 71 00:04:10,880 --> 00:04:15,120 Speaker 9: You can think of that as the current environment and 72 00:04:15,280 --> 00:04:22,279 Speaker 9: still believe that technology trends like AI win longer term. 73 00:04:23,160 --> 00:04:26,160 Speaker 9: And it doesn't change the fact that companies, when they 74 00:04:26,240 --> 00:04:28,920 Speaker 9: look at where they're going to deploy capital and where 75 00:04:28,960 --> 00:04:31,400 Speaker 9: the opportunities lies, are going to do it in the 76 00:04:31,480 --> 00:04:35,080 Speaker 9: places they think they need to develop in order to 77 00:04:35,120 --> 00:04:39,400 Speaker 9: compete going forward. And so as they make those capital 78 00:04:39,440 --> 00:04:43,480 Speaker 9: deployment decisions, they are looking at things like AI, which 79 00:04:43,520 --> 00:04:46,719 Speaker 9: is the number one thing that they need to be 80 00:04:46,800 --> 00:04:51,000 Speaker 9: considering to continue to stay competitive. A great example is Apple, Right, 81 00:04:52,360 --> 00:04:56,760 Speaker 9: everybody was down on the stock prior to their announcements 82 00:04:56,800 --> 00:04:59,640 Speaker 9: of how they were going to be incorporating AI into 83 00:05:00,160 --> 00:05:06,159 Speaker 9: their iPhone platform and into their other devices. Right before that, 84 00:05:06,320 --> 00:05:08,159 Speaker 9: everybody was like, oh, there behind the eight. 85 00:05:08,000 --> 00:05:09,760 Speaker 8: Ball shown on the stock. 86 00:05:09,600 --> 00:05:12,200 Speaker 5: Hurt let me jump in there, and I'm sorry to 87 00:05:12,200 --> 00:05:13,719 Speaker 5: cut you off. I actually want to continue with some 88 00:05:13,760 --> 00:05:17,120 Speaker 5: of the real time reaction to those fed wallheadlines. One 89 00:05:17,160 --> 00:05:20,560 Speaker 5: of the alternatives that you track closely is bitcoin, right, 90 00:05:20,640 --> 00:05:23,760 Speaker 5: And when we got the jobs numbers, bitcoin jumped and 91 00:05:23,920 --> 00:05:26,920 Speaker 5: was in positive territory for much of the session. Going 92 00:05:27,000 --> 00:05:29,880 Speaker 5: into those fed wallheadlines at the top of the eleven 93 00:05:29,880 --> 00:05:32,760 Speaker 5: east an hour, it was markedly lower, about two and 94 00:05:32,760 --> 00:05:33,440 Speaker 5: a half percent. 95 00:05:33,520 --> 00:05:34,840 Speaker 8: It came off that a little bit. 96 00:05:35,440 --> 00:05:38,640 Speaker 5: Use that case study of one single session to explain 97 00:05:38,680 --> 00:05:40,960 Speaker 5: why you track bitcoin so closely for your clients. 98 00:05:42,200 --> 00:05:46,839 Speaker 9: So again we think bitcoin is using or even ease 99 00:05:46,960 --> 00:05:51,320 Speaker 9: it's crypto in general. Art right are taking advantage of 100 00:05:51,360 --> 00:05:53,279 Speaker 9: a technology of the future in blockchain. 101 00:05:53,800 --> 00:05:55,360 Speaker 10: You know, blockchain is. 102 00:05:55,320 --> 00:05:59,960 Speaker 9: A protocol, and we've seen the revolutions of protocols throughout 103 00:06:00,040 --> 00:06:03,599 Speaker 9: out the history of the Internet. You know, everything from 104 00:06:04,040 --> 00:06:08,800 Speaker 9: voiceover Internet protocol to HGTP is a protocol, like these 105 00:06:08,800 --> 00:06:09,760 Speaker 9: are all protocols. 106 00:06:09,880 --> 00:06:11,120 Speaker 6: Blockchain is a protocol. 107 00:06:11,160 --> 00:06:16,039 Speaker 9: Bitcoin works on that protocol, and that is a future 108 00:06:16,120 --> 00:06:18,640 Speaker 9: technology that we believe will be great. 109 00:06:18,839 --> 00:06:20,320 Speaker 11: You know, more largely adopted. 110 00:06:20,760 --> 00:06:24,560 Speaker 9: What we saw in the short term reaction to information 111 00:06:25,000 --> 00:06:27,920 Speaker 9: had more to do with a risk on risk off trade, 112 00:06:28,080 --> 00:06:31,160 Speaker 9: not necessarily the adoption of the protocol. So you can 113 00:06:31,240 --> 00:06:33,880 Speaker 9: believe two things at once. This is the difference between 114 00:06:33,920 --> 00:06:36,360 Speaker 9: a trader and a long term investor. Right, you can 115 00:06:36,440 --> 00:06:38,520 Speaker 9: believe that in the short term you're going to have 116 00:06:39,600 --> 00:06:44,279 Speaker 9: the market movements that you can profit from, and you 117 00:06:44,320 --> 00:06:47,440 Speaker 9: can also believe that, I don't care about what happens 118 00:06:47,440 --> 00:06:51,159 Speaker 9: on one individual day, but the longer term trend wins 119 00:06:51,160 --> 00:06:52,160 Speaker 9: out in the long term. 120 00:06:52,640 --> 00:06:55,320 Speaker 6: That's what happening when we're looking at the likes a 121 00:06:55,440 --> 00:06:58,800 Speaker 6: Broadcom today or in video last week, that it's the 122 00:06:58,880 --> 00:07:02,680 Speaker 6: trading that said them so much lower on actually pretty 123 00:07:02,720 --> 00:07:06,560 Speaker 6: fundamentally decent numbers in the long term, but they disappoint 124 00:07:06,600 --> 00:07:08,760 Speaker 6: because expectations have run so far so fast. 125 00:07:09,600 --> 00:07:13,440 Speaker 9: It's exactly right now. There's two different type of analysis 126 00:07:13,480 --> 00:07:17,320 Speaker 9: in finance, right, there's technical and there's fundamental. So the 127 00:07:17,520 --> 00:07:21,600 Speaker 9: fundamentals remain strong, but the technicals broke down, and the 128 00:07:21,680 --> 00:07:24,720 Speaker 9: technicals drive a lot of the algorithms that move the 129 00:07:24,760 --> 00:07:28,040 Speaker 9: markets these days, and so that's why you can see 130 00:07:28,080 --> 00:07:31,920 Speaker 9: these short term price dislocations that occur even though fundamental 131 00:07:31,960 --> 00:07:35,640 Speaker 9: information and the actual company itself is in good shape. 132 00:07:36,680 --> 00:07:39,840 Speaker 5: Seana, you stated the line that I've been using all week, 133 00:07:39,880 --> 00:07:43,360 Speaker 5: which effectively is one session a market does not make. 134 00:07:43,800 --> 00:07:46,520 Speaker 5: But I just want to stick with what's happening right now. 135 00:07:46,600 --> 00:07:50,680 Speaker 5: You know, we had that statement from Waller, you know, 136 00:07:51,240 --> 00:07:54,680 Speaker 5: tie it all together the post mortem of Nvidia, what 137 00:07:54,720 --> 00:07:57,400 Speaker 5: the expectation of what the FED will or won't do 138 00:07:57,520 --> 00:08:00,000 Speaker 5: this month is, and where you go from here. 139 00:08:01,560 --> 00:08:05,200 Speaker 10: So the post mortem of in Vidia is that in 140 00:08:05,400 --> 00:08:08,560 Speaker 10: Vidia is a great company doing great things, and that 141 00:08:08,680 --> 00:08:14,000 Speaker 10: has really attractive growth, just not the attractive growth that 142 00:08:14,080 --> 00:08:15,080 Speaker 10: they had before. 143 00:08:15,200 --> 00:08:18,600 Speaker 9: So when you were experienced in three four hundred percent 144 00:08:18,680 --> 00:08:21,880 Speaker 9: increases in revenue and you fall to one hundred and fifty, 145 00:08:21,920 --> 00:08:25,800 Speaker 9: that is a decline in your earnings momentum, but it's 146 00:08:25,840 --> 00:08:28,520 Speaker 9: still one hundred and fifty percent increase in your revenue. 147 00:08:29,200 --> 00:08:33,240 Speaker 9: And so overall, as a long term holder of in Video, personally, 148 00:08:33,880 --> 00:08:36,360 Speaker 9: I believe that the stock wins in the long term. 149 00:08:36,360 --> 00:08:38,880 Speaker 9: I follow the stock forever and the short term, what 150 00:08:38,920 --> 00:08:44,440 Speaker 9: you're seeing is that disappointment and the stock coming back 151 00:08:44,600 --> 00:08:48,520 Speaker 9: to reflect more closely, it's fundamentals when you start to 152 00:08:48,559 --> 00:08:50,360 Speaker 9: look at price to earnings and things of that nature. 153 00:08:50,640 --> 00:08:53,200 Speaker 9: So post mortem, I think long term and vida good 154 00:08:53,280 --> 00:08:56,120 Speaker 9: short term would probably have some volatility in terms of 155 00:08:56,200 --> 00:08:59,960 Speaker 9: the FED and what happens next. I think today's data 156 00:09:00,160 --> 00:09:02,880 Speaker 9: and the comments that came from Waller suggests that the 157 00:09:03,000 --> 00:09:07,160 Speaker 9: FED is still in line to make a rate cut 158 00:09:07,679 --> 00:09:10,400 Speaker 9: this month, and it will be the first of many. 159 00:09:10,520 --> 00:09:13,400 Speaker 9: And the question really becomes how big will that ratecut be? 160 00:09:13,920 --> 00:09:16,560 Speaker 9: And there was nothing that came out in today's data 161 00:09:16,679 --> 00:09:18,959 Speaker 9: that suggests that it should be anything more than twenty 162 00:09:18,960 --> 00:09:20,560 Speaker 9: five basis points in my opinion. 163 00:09:21,600 --> 00:09:23,640 Speaker 8: Shanna Sisters CEOBE, you messed up? 164 00:09:23,880 --> 00:09:25,840 Speaker 9: Did I miss another question you asked? 165 00:09:26,160 --> 00:09:26,840 Speaker 6: I think you have no? 166 00:09:27,240 --> 00:09:29,320 Speaker 5: I mean, my goodness, you took what I asked and 167 00:09:29,360 --> 00:09:31,720 Speaker 5: you really ran with it. We appreciate it. Shanna Sissl's 168 00:09:31,760 --> 00:09:34,760 Speaker 5: CEO of Bandary and Capital Management, Thank you very much. 169 00:09:43,200 --> 00:09:46,400 Speaker 5: Docu sign shares up in today's trading after the signature 170 00:09:46,400 --> 00:09:49,959 Speaker 5: company reported second quarter results, posting revenue of seven hundred 171 00:09:49,960 --> 00:09:53,520 Speaker 5: and thirty six million dollars billings growth of two percent. 172 00:09:53,600 --> 00:09:56,600 Speaker 5: But it's margins where a lot of the streets focuses. 173 00:09:56,679 --> 00:09:59,960 Speaker 5: Let's bring in doc you sign CEO Alan Tigerson, who 174 00:10:00,080 --> 00:10:03,080 Speaker 5: here in San Francisco with me. I just want the story, 175 00:10:03,320 --> 00:10:06,680 Speaker 5: the DOCU signed story, right. I think historically you've beat 176 00:10:06,760 --> 00:10:09,920 Speaker 5: the market's expectations on billings, and so everyone was very excited. 177 00:10:10,120 --> 00:10:14,120 Speaker 5: They're a little concerned on that. The story behind billings growth. 178 00:10:14,320 --> 00:10:15,480 Speaker 8: Well, you know, so. 179 00:10:15,480 --> 00:10:17,120 Speaker 2: When I joined a little out of two years ago, 180 00:10:17,400 --> 00:10:20,000 Speaker 2: I think there were three questions. One, could we stabilize 181 00:10:20,000 --> 00:10:23,000 Speaker 2: the business, could we become more efficient? And then could 182 00:10:23,000 --> 00:10:25,959 Speaker 2: we develop our next chapter? And so this quarter I 183 00:10:26,000 --> 00:10:28,040 Speaker 2: think is a nice milestone. I think we have really 184 00:10:28,080 --> 00:10:31,080 Speaker 2: stabilized the business. We've made the business much more efficient, 185 00:10:31,160 --> 00:10:34,160 Speaker 2: the profitability as you mentioned, and we are now poised, 186 00:10:34,200 --> 00:10:37,760 Speaker 2: I think for growth. We've launched our new product line, 187 00:10:37,760 --> 00:10:40,200 Speaker 2: which is much broader than the signature that everyone's so 188 00:10:40,240 --> 00:10:43,720 Speaker 2: familiar with, and we saw some early, very positive results 189 00:10:43,720 --> 00:10:46,920 Speaker 2: this quarter. It's still early, but we're very encouraging. 190 00:10:46,720 --> 00:10:51,000 Speaker 6: Dig into those positive results. AI Infused. We're thinking about 191 00:10:51,080 --> 00:10:54,720 Speaker 6: broadening out from contracts. How is it working for the 192 00:10:54,720 --> 00:10:55,600 Speaker 6: companies that use it? 193 00:10:57,000 --> 00:11:01,000 Speaker 2: Yes, So we launched it to North American commercial customers 194 00:11:01,720 --> 00:11:04,640 Speaker 2: and we've had a number of folks that have not 195 00:11:04,679 --> 00:11:08,280 Speaker 2: only ordered, but deployed, and the early results are really good. 196 00:11:08,640 --> 00:11:10,880 Speaker 2: You see, what they're saying is They love the fact 197 00:11:10,920 --> 00:11:13,280 Speaker 2: that we can ingest all of their agreements and give 198 00:11:13,320 --> 00:11:16,800 Speaker 2: them immediate insight into every contract that they have. And 199 00:11:16,880 --> 00:11:19,200 Speaker 2: this is valuable for every role in the company. Whether 200 00:11:19,240 --> 00:11:22,720 Speaker 2: you're a CFO or a frontline seller or purchasing agent 201 00:11:22,800 --> 00:11:25,640 Speaker 2: or an HR recruiter. You want to know the agreements 202 00:11:25,679 --> 00:11:27,880 Speaker 2: that are relevant to you, what are the essential terms, 203 00:11:28,800 --> 00:11:30,880 Speaker 2: and how are things going. And that's what we provide, 204 00:11:30,920 --> 00:11:33,040 Speaker 2: and we can do that fairly instantaneously. 205 00:11:33,160 --> 00:11:35,959 Speaker 5: When you have an AI enabled product, or a product 206 00:11:36,040 --> 00:11:39,400 Speaker 5: is made more valuable by AI, it's usually required an 207 00:11:39,400 --> 00:11:43,240 Speaker 5: investment on the talent side or the compute side. What 208 00:11:43,360 --> 00:11:45,760 Speaker 5: can you tell me and your investors and the audience 209 00:11:45,880 --> 00:11:48,240 Speaker 5: convince us that that investment is paying off fully? 210 00:11:48,679 --> 00:11:52,319 Speaker 2: Yeah, well, so as if you look at our past 211 00:11:52,320 --> 00:11:54,760 Speaker 2: performance here, we've been doing AI for a long time. 212 00:11:54,800 --> 00:11:58,280 Speaker 2: We've had AI embedded our products since before the allms 213 00:11:58,320 --> 00:12:01,080 Speaker 2: came out, and that's been feature that we've embedded as 214 00:12:01,080 --> 00:12:03,840 Speaker 2: well as charged separately for. But obviously with the advent 215 00:12:03,880 --> 00:12:05,800 Speaker 2: of these new models, we were able to take a 216 00:12:05,960 --> 00:12:10,000 Speaker 2: significantly forward. And the feature that I just described is 217 00:12:10,040 --> 00:12:15,000 Speaker 2: AIAI enabled so we take your contract data, run it 218 00:12:15,040 --> 00:12:17,600 Speaker 2: through some of these models, score them and then give 219 00:12:17,640 --> 00:12:20,200 Speaker 2: you back the central data about your agreements, and we 220 00:12:20,240 --> 00:12:23,319 Speaker 2: could do that in a very lightweight, instantaneous way. From 221 00:12:23,360 --> 00:12:26,440 Speaker 2: an investment perspective, we have ramped up our investment in 222 00:12:26,520 --> 00:12:30,199 Speaker 2: product and technology, and we are moving to the public cloud. 223 00:12:30,240 --> 00:12:32,679 Speaker 2: We have a big partnership with Microsoft. But I think 224 00:12:32,720 --> 00:12:34,880 Speaker 2: we're holding the line pretty well on expenses. We can 225 00:12:34,920 --> 00:12:36,960 Speaker 2: do this efficiently, and of course the costs of AI 226 00:12:37,120 --> 00:12:39,760 Speaker 2: continue to drop. The cost of processing and agreement has 227 00:12:39,800 --> 00:12:41,680 Speaker 2: dropped tremendously to the last six months. 228 00:12:42,520 --> 00:12:44,760 Speaker 6: We're looking at the moment at an interday, you're up 229 00:12:44,760 --> 00:12:47,440 Speaker 6: three point seven percent. I look back over the five years. 230 00:12:47,960 --> 00:12:50,760 Speaker 6: At one point your share price it clips three hundred, 231 00:12:51,400 --> 00:12:53,960 Speaker 6: And I'm just wondering as to whether you think this AI, 232 00:12:54,000 --> 00:12:56,720 Speaker 6: your foury, is ever going to infuse itself into the 233 00:12:56,760 --> 00:12:59,679 Speaker 6: capitalization the market capitalization of your business once again on 234 00:13:00,040 --> 00:13:01,560 Speaker 6: as the pandemic did once before. 235 00:13:02,559 --> 00:13:05,079 Speaker 2: Well, I think you know those were days when doc 236 00:13:05,120 --> 00:13:07,920 Speaker 2: time's growing at fifty sixty percent a year. So I 237 00:13:07,920 --> 00:13:10,120 Speaker 2: don't know that we have a path to that yet. 238 00:13:11,559 --> 00:13:14,240 Speaker 2: I certainly love that, but I'm not projecting that. I 239 00:13:14,280 --> 00:13:16,920 Speaker 2: think for now we're setting ourselves a milestone and return 240 00:13:17,000 --> 00:13:18,720 Speaker 2: to double digit profitable growth. 241 00:13:18,840 --> 00:13:19,800 Speaker 8: I think we have a. 242 00:13:19,760 --> 00:13:23,560 Speaker 2: Path to that, and the early signs here are encouraging, 243 00:13:24,400 --> 00:13:26,120 Speaker 2: and we'll see how the market's response to that. We're 244 00:13:26,120 --> 00:13:29,000 Speaker 2: obviously a much more profitable company now and operating at 245 00:13:29,000 --> 00:13:31,680 Speaker 2: bigger scales, so I'm not going to predict where the 246 00:13:31,679 --> 00:13:34,520 Speaker 2: market's going to value us, but we are really really 247 00:13:34,559 --> 00:13:35,800 Speaker 2: pleased with the early progress here. 248 00:13:35,840 --> 00:13:36,439 Speaker 8: It's very quickly. 249 00:13:36,440 --> 00:13:40,040 Speaker 5: Something you just said, Alan, the cost of AI is dropping. 250 00:13:40,720 --> 00:13:42,679 Speaker 5: I don't know that I've heard many people say that 251 00:13:42,840 --> 00:13:44,040 Speaker 5: to me at least, what do you mean. 252 00:13:44,440 --> 00:13:46,800 Speaker 2: Well, so, if you look at the efficiency of these 253 00:13:46,840 --> 00:13:50,800 Speaker 2: models and the cost per item process, whether it's an 254 00:13:50,800 --> 00:13:53,480 Speaker 2: image or an our case in agreement, the cost has 255 00:13:53,559 --> 00:13:56,760 Speaker 2: dropped very significantly, by a couple orders of magnitude. With 256 00:13:56,880 --> 00:14:00,240 Speaker 2: that said, obviously people are taking on more ambitious tasks, 257 00:14:00,280 --> 00:14:03,840 Speaker 2: the models are getting larger, and so the compute costs 258 00:14:04,200 --> 00:14:06,800 Speaker 2: for the large vendors, for example, the amount of capital 259 00:14:06,880 --> 00:14:08,839 Speaker 2: investment they're making is going up and up. I think 260 00:14:08,840 --> 00:14:12,240 Speaker 2: it's because of the expansiveness of the opportunity that they see. 261 00:14:12,840 --> 00:14:15,200 Speaker 2: But I'm telling you, as a customer on a per 262 00:14:15,240 --> 00:14:18,480 Speaker 2: item process perspective, costs of dropping very. 263 00:14:18,400 --> 00:14:22,200 Speaker 6: Rapidly fascinating take. We thank you so much, doctor side 264 00:14:22,480 --> 00:14:25,880 Speaker 6: An anti Guison for joining us. Now let's go elsewhere 265 00:14:25,880 --> 00:14:28,000 Speaker 6: in the C suite. Shares of enterprise automation and AI 266 00:14:28,120 --> 00:14:31,320 Speaker 6: software company UiPath that they're down in today's training following 267 00:14:31,320 --> 00:14:34,560 Speaker 6: the software companies actually ten percent revenue growth results and 268 00:14:34,680 --> 00:14:37,920 Speaker 6: a small upward revision and its recurring revenue forecast. That's 269 00:14:37,920 --> 00:14:41,000 Speaker 6: amid a CEO transition and job cuts. AT's bringing UiPath 270 00:14:41,120 --> 00:14:45,320 Speaker 6: CFO and COO Ashim Gutta for more. You're taking on 271 00:14:45,440 --> 00:14:48,720 Speaker 6: more roles and responsibilities. We're seeing an investor base that 272 00:14:48,880 --> 00:14:52,160 Speaker 6: wants certainty, that wants confidence in this period of change, 273 00:14:52,560 --> 00:14:55,400 Speaker 6: you're showing execution. Can you give them that at the 274 00:14:55,440 --> 00:14:55,960 Speaker 6: moment issue? 275 00:14:56,720 --> 00:14:58,600 Speaker 12: Yeah, And I think this quarter was a good testament 276 00:14:58,680 --> 00:15:00,960 Speaker 12: to that, Caroline. We beat our mental across the board 277 00:15:01,280 --> 00:15:04,040 Speaker 12: from what we got into last quarter. We raised our 278 00:15:04,080 --> 00:15:07,320 Speaker 12: overall operating margin and free cash flow by twenty five 279 00:15:07,400 --> 00:15:11,120 Speaker 12: million dollars, which projects our confidence in our ability to 280 00:15:11,240 --> 00:15:15,080 Speaker 12: execute both efficiently and at the same time with minimum 281 00:15:15,240 --> 00:15:17,400 Speaker 12: distraction on the top line results that we're going to 282 00:15:17,440 --> 00:15:20,680 Speaker 12: continue to drive. And then we've also executed well against 283 00:15:20,720 --> 00:15:24,440 Speaker 12: our buyback. We increased our authorization for another five hundred 284 00:15:24,480 --> 00:15:27,640 Speaker 12: million dollars, bringing to a billion dollars in total. I 285 00:15:27,680 --> 00:15:30,000 Speaker 12: think that really projects the confidence that we have in 286 00:15:30,120 --> 00:15:32,880 Speaker 12: the company and our ability to execute, and then that's 287 00:15:33,000 --> 00:15:36,200 Speaker 12: translating well in the investor discussions that we've had today. 288 00:15:36,920 --> 00:15:40,400 Speaker 6: What about executing against your competition A shame Your role 289 00:15:40,480 --> 00:15:45,160 Speaker 6: before was with about customer excellence and look service now salesforce, 290 00:15:45,200 --> 00:15:48,280 Speaker 6: they are rolling out AI agents, they're fueling productivity aims. 291 00:15:48,640 --> 00:15:52,360 Speaker 6: I'm interested to seeing your ability to compete here. 292 00:15:53,400 --> 00:15:54,360 Speaker 11: Yeah, it's a great question. 293 00:15:54,760 --> 00:15:57,000 Speaker 12: We feel very good about actually our position and the 294 00:15:57,080 --> 00:16:02,200 Speaker 12: execution of our field competing. We close the largest test 295 00:16:02,240 --> 00:16:04,880 Speaker 12: automation deal in the history of the company in one 296 00:16:04,920 --> 00:16:08,320 Speaker 12: of the world's largest tech companies. We've expanded our cloud 297 00:16:08,360 --> 00:16:12,120 Speaker 12: platform significantly. You saw that cross almost eight hundred and 298 00:16:12,120 --> 00:16:15,720 Speaker 12: fifty million dollars of arr now into our into our 299 00:16:15,800 --> 00:16:18,600 Speaker 12: overall top line results. And when you look across our 300 00:16:18,680 --> 00:16:21,680 Speaker 12: customer base, we've increased our customers greater than a million 301 00:16:21,760 --> 00:16:25,800 Speaker 12: dollars by fifteen percent year over year, and that cohort 302 00:16:25,840 --> 00:16:28,240 Speaker 12: of customers or customers greater than one hundred thousand and 303 00:16:28,280 --> 00:16:30,960 Speaker 12: two a million is expanding at one hundred twenty percent. 304 00:16:31,280 --> 00:16:34,320 Speaker 12: That shows that we're winning in the market. There's increased 305 00:16:34,360 --> 00:16:40,160 Speaker 12: competition in personal productivity, you know, smaller ROI mundane tasks 306 00:16:40,240 --> 00:16:44,160 Speaker 12: type automations. But where we're competing and where where we're 307 00:16:44,240 --> 00:16:48,680 Speaker 12: winning is in large scale enterprise automations and where AI 308 00:16:48,840 --> 00:16:52,960 Speaker 12: and automation come together. That is what customers want, and 309 00:16:53,160 --> 00:16:55,880 Speaker 12: we are winning in those types of use cases, as 310 00:16:55,920 --> 00:16:58,240 Speaker 12: evidenced by the demo that we actually provided in our 311 00:16:58,240 --> 00:17:00,880 Speaker 12: earnings call that shows them do we can have with 312 00:17:01,040 --> 00:17:04,920 Speaker 12: healthcare customers as the across the industry for a simple 313 00:17:05,040 --> 00:17:06,960 Speaker 12: use case that can save them hundreds of millions of. 314 00:17:06,960 --> 00:17:09,320 Speaker 8: Dollars A shame. 315 00:17:09,600 --> 00:17:12,560 Speaker 5: Congratulations on being given a second job on top of 316 00:17:12,600 --> 00:17:15,400 Speaker 5: the one you've already got, CFO and COO. 317 00:17:15,600 --> 00:17:17,040 Speaker 8: Now, I actually want. 318 00:17:16,960 --> 00:17:18,560 Speaker 5: To talk to you about saying I think we probably 319 00:17:18,600 --> 00:17:20,879 Speaker 5: looked at earlier in the year, which is this bigger 320 00:17:20,960 --> 00:17:25,080 Speaker 5: picture of license to subscription. There are lots of people 321 00:17:25,160 --> 00:17:28,159 Speaker 5: that watch this program where that is something that they 322 00:17:28,160 --> 00:17:31,400 Speaker 5: will confront each day because they either administer software agreements 323 00:17:31,520 --> 00:17:34,800 Speaker 5: or whatever. Can you just extrapolate out from your earnings 324 00:17:34,840 --> 00:17:37,639 Speaker 5: of what that trend looks like for you guys going forward. 325 00:17:38,800 --> 00:17:39,280 Speaker 8: Yeah, when you. 326 00:17:39,359 --> 00:17:41,760 Speaker 12: Look at our you know, we really look at our 327 00:17:41,840 --> 00:17:46,200 Speaker 12: annual recurring revenue as akin to our subscription model, and 328 00:17:46,320 --> 00:17:49,480 Speaker 12: that is growing nineteen percent at a billion five five 329 00:17:49,520 --> 00:17:52,080 Speaker 12: of skill. So we really look at that as a 330 00:17:52,200 --> 00:17:54,720 Speaker 12: very good indicator of where we are as a company 331 00:17:54,800 --> 00:17:57,600 Speaker 12: and how customers look at us as a long. 332 00:17:57,520 --> 00:17:58,959 Speaker 11: Term part of their architecture. 333 00:17:59,520 --> 00:18:01,639 Speaker 12: The second piece is our net dollar expansion rate that 334 00:18:01,760 --> 00:18:03,679 Speaker 12: is still at one hundred and fifteen percent at the. 335 00:18:03,680 --> 00:18:04,640 Speaker 11: Scale that we're at. 336 00:18:05,160 --> 00:18:07,760 Speaker 12: So when you look at you know, customers buying in 337 00:18:07,960 --> 00:18:12,160 Speaker 12: not just for one time type project, but really subscribing 338 00:18:12,280 --> 00:18:16,040 Speaker 12: to us, it's because we provide continuous and long term 339 00:18:16,160 --> 00:18:19,800 Speaker 12: value in their enterprise processes. So as you extrapolate that 340 00:18:19,960 --> 00:18:22,719 Speaker 12: forward and you say one hundred and fifteen percent net 341 00:18:22,760 --> 00:18:26,280 Speaker 12: dollar expansion rate, continuing to launch new products such as 342 00:18:26,320 --> 00:18:31,080 Speaker 12: Autopilot that is that brings natural language processing for automation 343 00:18:31,240 --> 00:18:34,280 Speaker 12: developers and puts that in their hands, and expanding our 344 00:18:34,320 --> 00:18:37,720 Speaker 12: platform into test automation, and continuing to drive more and 345 00:18:37,800 --> 00:18:39,200 Speaker 12: more complicated use cases. 346 00:18:39,560 --> 00:18:42,160 Speaker 11: We feel very good about the trajectory of that subscription 347 00:18:42,280 --> 00:18:42,840 Speaker 11: model for US. 348 00:18:43,840 --> 00:18:45,879 Speaker 8: A shame. How is your day to day going to 349 00:18:45,920 --> 00:18:47,920 Speaker 8: be different now that you so as well? 350 00:18:48,840 --> 00:18:51,520 Speaker 12: Look, I think I have a great team in finance 351 00:18:51,600 --> 00:18:56,080 Speaker 12: that has done so much and has built a great foundation. Really, 352 00:18:56,280 --> 00:19:00,119 Speaker 12: Daniel and I look at execution and driving prioritization and 353 00:19:00,200 --> 00:19:03,640 Speaker 12: then dividing and conquering where he can spend time continuing 354 00:19:03,680 --> 00:19:06,080 Speaker 12: to lead us into this agentic wave that is there. 355 00:19:06,560 --> 00:19:09,440 Speaker 12: And agentic is such a powerful wave that requires both 356 00:19:09,520 --> 00:19:14,000 Speaker 12: go to market and product innovation, and continuing our leadership 357 00:19:14,080 --> 00:19:16,720 Speaker 12: in that area is great for me to be able 358 00:19:16,800 --> 00:19:19,520 Speaker 12: to help Daniel and help the team by providing day 359 00:19:19,560 --> 00:19:23,320 Speaker 12: to day ownership over the enabling functions that really drive 360 00:19:23,640 --> 00:19:26,600 Speaker 12: our ability to execute against our broader vision. That's where 361 00:19:26,640 --> 00:19:28,080 Speaker 12: I'm going to spend more and more of my time. 362 00:19:28,720 --> 00:19:30,760 Speaker 12: It's frankly an honor and a really good part to 363 00:19:30,840 --> 00:19:32,520 Speaker 12: be a part of the larger team of viipath. 364 00:19:32,960 --> 00:19:35,440 Speaker 6: It's a hard time because you're cutting people. How much 365 00:19:35,560 --> 00:19:39,879 Speaker 6: is AI able to offset and replace some of that talent? 366 00:19:40,960 --> 00:19:41,480 Speaker 8: Yeah, we look. 367 00:19:41,520 --> 00:19:43,720 Speaker 12: I think first, as you're right, it's never easy to 368 00:19:43,800 --> 00:19:46,920 Speaker 12: part with employees. And at the same time, I think 369 00:19:47,040 --> 00:19:50,000 Speaker 12: driving continuing to drive shareholder value is important for us 370 00:19:50,119 --> 00:19:54,200 Speaker 12: and efficiency and making sure we have streamlined processes that 371 00:19:54,280 --> 00:19:54,560 Speaker 12: are there. 372 00:19:54,840 --> 00:19:57,159 Speaker 11: I think AI is a really important part of us. 373 00:19:57,320 --> 00:20:00,720 Speaker 12: We actually use our platform internally than three hundred and 374 00:20:00,720 --> 00:20:05,520 Speaker 12: fifty automations live doing everything from invoice processing to even 375 00:20:05,600 --> 00:20:07,800 Speaker 12: complex areas like vendor engagements. 376 00:20:08,240 --> 00:20:10,080 Speaker 11: That is a big part of our productivity. 377 00:20:10,520 --> 00:20:13,520 Speaker 12: With autopilot, we're able to launch that into other areas 378 00:20:13,560 --> 00:20:16,640 Speaker 12: such as our sales processes. And I think that efficiency 379 00:20:17,560 --> 00:20:21,119 Speaker 12: gives us not just productivity and dollars, but really of 380 00:20:21,280 --> 00:20:24,440 Speaker 12: mind shure to spend more time with customers and customer 381 00:20:24,520 --> 00:20:27,960 Speaker 12: centricity is a really key tenant of Daniel's priority for 382 00:20:28,040 --> 00:20:28,480 Speaker 12: the company. 383 00:20:28,520 --> 00:20:32,240 Speaker 5: As we go forward, UIPAF CFO and now COO as well. Actually, 384 00:20:32,240 --> 00:20:34,080 Speaker 5: and goodt thank you very much. Like coming up on 385 00:20:34,119 --> 00:20:38,240 Speaker 5: the program, Americans are shifting their stance on a potential 386 00:20:38,320 --> 00:20:41,600 Speaker 5: TikTok ban. We'll have all the details next And as 387 00:20:41,640 --> 00:20:45,080 Speaker 5: we head to the break, take another look at the 388 00:20:45,160 --> 00:20:48,960 Speaker 5: NASDAQ one hundred actually trading their session lows, now heading 389 00:20:49,000 --> 00:20:53,000 Speaker 5: for its biggest weekly decline since November twenty twenty two, 390 00:20:53,480 --> 00:20:55,320 Speaker 5: down two and a half two point four percent. In 391 00:20:55,359 --> 00:20:58,159 Speaker 5: this session, you can see the little sort of spike 392 00:20:58,280 --> 00:21:00,960 Speaker 5: or pair in those losses. After the faire wallerheads, we'll 393 00:21:00,960 --> 00:21:02,439 Speaker 5: talk more about the markets in the hour. This has 394 00:21:02,480 --> 00:21:21,399 Speaker 5: boonbo technology. It's time now for talking tech and first start. 395 00:21:21,480 --> 00:21:26,000 Speaker 5: Americans are less supportive of a possible TikTok ban than 396 00:21:26,040 --> 00:21:28,480 Speaker 5: they were eighteen months ago. According to a new Pew 397 00:21:28,600 --> 00:21:32,200 Speaker 5: Research survey, just thirty two percent of US adults back 398 00:21:32,240 --> 00:21:35,000 Speaker 5: a TikTok ban, while that number was at fifty percent 399 00:21:35,119 --> 00:21:38,000 Speaker 5: back in March of last year. Plus TikTok parent Bike 400 00:21:38,160 --> 00:21:40,480 Speaker 5: Dance is raising as much as six hundred million dollars 401 00:21:40,680 --> 00:21:44,440 Speaker 5: for its car information and trading platform, dong Cheede. According 402 00:21:44,480 --> 00:21:47,639 Speaker 5: to sources, The fundraising round values the platform at close 403 00:21:47,840 --> 00:21:51,720 Speaker 5: to three billion dollars. And Telegram CEO Pavel Durov defended 404 00:21:51,960 --> 00:21:55,480 Speaker 5: the encryptive messaging app in his first public comments since 405 00:21:55,560 --> 00:21:58,760 Speaker 5: being arrested in Paris last month. He acknowledged quote growing 406 00:21:58,880 --> 00:22:01,640 Speaker 5: pains from a rapid expansion to nine hundred and fifty 407 00:22:01,640 --> 00:22:04,679 Speaker 5: million users and promise to tackle criminal abuse. 408 00:22:04,760 --> 00:22:07,560 Speaker 6: Character it's just take a look at these markets and 409 00:22:07,640 --> 00:22:12,800 Speaker 6: anticipate what we're discussing next. Broadcon I mean slumping on 410 00:22:12,880 --> 00:22:14,920 Speaker 6: the back of its numbers. They were pretty strong in 411 00:22:15,000 --> 00:22:17,159 Speaker 6: Ai but the forecast disappointed word by nine percent and 412 00:22:17,160 --> 00:22:20,159 Speaker 6: the NASAQ one hundred offer five point six percent over 413 00:22:20,200 --> 00:22:23,080 Speaker 6: the last five training days, the worst week since November 414 00:22:23,160 --> 00:22:36,640 Speaker 6: twenty twenty two. This is Blue Meg Technology. Welcome back 415 00:22:36,640 --> 00:22:38,960 Speaker 6: to Blue Meg Technology. I'm Caroline Heid in New York. 416 00:22:39,160 --> 00:22:40,800 Speaker 8: And I'm Ed Ludlow in San Francisco. 417 00:22:41,280 --> 00:22:43,119 Speaker 6: It is a brutal end to this week. When it 418 00:22:43,200 --> 00:22:46,080 Speaker 6: comes to being long these markets, it is the macro data, 419 00:22:46,240 --> 00:22:49,000 Speaker 6: the job's data showing once again a calling in that 420 00:22:49,119 --> 00:22:51,959 Speaker 6: job's market. Wage growth ticked up, but overall we are 421 00:22:52,000 --> 00:22:54,040 Speaker 6: looking for reasons to sell it fields this Friday and 422 00:22:54,119 --> 00:22:55,960 Speaker 6: we are down on the NASA by two point three percent. 423 00:22:56,000 --> 00:22:57,960 Speaker 6: In fact, the Nasdaq one hundred having its worst week 424 00:22:58,119 --> 00:23:01,680 Speaker 6: since twenty twenty two. We're on a risk averse environment, 425 00:23:01,800 --> 00:23:04,320 Speaker 6: so bomb market catches a bid. The two year yield 426 00:23:04,359 --> 00:23:07,439 Speaker 6: falls down some nine basis points, off of some fourteen 427 00:23:07,480 --> 00:23:09,840 Speaker 6: basis point collapse earlier in the day. This as we 428 00:23:09,960 --> 00:23:12,200 Speaker 6: start to bake in, is there a fifty basis point 429 00:23:12,240 --> 00:23:14,879 Speaker 6: cut as soon as September. I'm looking at bitcoin also 430 00:23:15,320 --> 00:23:17,159 Speaker 6: basically in line with risk sentiment. We're off by three 431 00:23:17,200 --> 00:23:19,880 Speaker 6: point three percent. Look at what so many individual movers 432 00:23:19,880 --> 00:23:21,119 Speaker 6: are doing. I just want to shine a light on 433 00:23:21,200 --> 00:23:23,040 Speaker 6: what a brutal week it has been also for chips. 434 00:23:23,080 --> 00:23:26,359 Speaker 6: More broadly, the socks off by another four percent. We're 435 00:23:26,400 --> 00:23:29,720 Speaker 6: basically down nine ten percent on the week. Broad Com 436 00:23:29,800 --> 00:23:32,480 Speaker 6: today is the victim of choice, and we're currently seeing 437 00:23:32,560 --> 00:23:35,879 Speaker 6: it collapse in percentage point perspective, even though it's forecast 438 00:23:35,920 --> 00:23:37,560 Speaker 6: like relatively bright. We're going to dig into that on 439 00:23:37,600 --> 00:23:40,640 Speaker 6: a micro basis, but also super microcomputers. Get this, JP 440 00:23:40,800 --> 00:23:43,680 Speaker 6: Morgan slashing its price target on this company all the 441 00:23:43,720 --> 00:23:46,320 Speaker 6: way down to five hundred, nine hundred and fifty after 442 00:23:46,400 --> 00:23:48,959 Speaker 6: short seller note we're worried about it's ten k. When 443 00:23:49,040 --> 00:23:51,159 Speaker 6: it gets back into compliance is when you're going to 444 00:23:51,200 --> 00:23:53,800 Speaker 6: have to sit on the sidelines until ed. But let's 445 00:23:53,840 --> 00:23:55,280 Speaker 6: just dig into what's happening with Broadcon. 446 00:23:56,000 --> 00:23:57,960 Speaker 8: Yeah, the Broadcom story is important. 447 00:23:58,080 --> 00:24:01,920 Speaker 5: Falling after the company delivered it's sales forecast, which was 448 00:24:02,000 --> 00:24:03,960 Speaker 5: hurt by the parts of its business that are not 449 00:24:04,600 --> 00:24:07,600 Speaker 5: tied to artificial intelligence. I want to bring in Congensubani 450 00:24:07,640 --> 00:24:10,800 Speaker 5: from Bloomberg Intelligence and Okay, so the fistful fourth quarter 451 00:24:11,320 --> 00:24:15,160 Speaker 5: overall revenues fourteen billion not as strong as hoped full 452 00:24:15,240 --> 00:24:17,639 Speaker 5: fiscal year twelve billion dollars in AI sales. 453 00:24:17,720 --> 00:24:18,120 Speaker 8: That's good. 454 00:24:18,640 --> 00:24:22,360 Speaker 5: So we're basically concluding that this sort of more legacy 455 00:24:22,440 --> 00:24:24,639 Speaker 5: businesses for Broadcom aren't doing as well right now? 456 00:24:24,720 --> 00:24:26,199 Speaker 8: Is that your Reid exactly? 457 00:24:26,280 --> 00:24:29,040 Speaker 13: I mean, that was the only negative, But in my opinion, 458 00:24:29,119 --> 00:24:30,960 Speaker 13: it was not very surprising if we have heard the 459 00:24:31,080 --> 00:24:34,040 Speaker 13: same story across of most of its peers who have 460 00:24:34,080 --> 00:24:37,080 Speaker 13: already reported, because remember Broadcom is the last one to report, 461 00:24:37,320 --> 00:24:39,520 Speaker 13: so that should not have caused this kind of a reaction. 462 00:24:39,840 --> 00:24:42,680 Speaker 13: I think another thing going here is the AI which 463 00:24:42,760 --> 00:24:45,480 Speaker 13: was upsided to twelve billion. Maybe investors were hoping for 464 00:24:45,600 --> 00:24:46,920 Speaker 13: even stronger upside there. 465 00:24:47,080 --> 00:24:50,600 Speaker 5: That's been the story of this entire earning season. I 466 00:24:50,680 --> 00:24:53,160 Speaker 5: do want to look at the sort of non AI 467 00:24:53,359 --> 00:24:56,800 Speaker 5: part because, as you know, Apple and Monday and the iPhone, 468 00:24:57,760 --> 00:24:59,960 Speaker 5: did we learn anything new about that business? 469 00:25:00,040 --> 00:25:04,280 Speaker 8: Yes, and perhaps the trajectory of it not. 470 00:25:04,440 --> 00:25:07,720 Speaker 13: Really from along with Broadcom and Qualcom and other chip players, 471 00:25:07,800 --> 00:25:12,720 Speaker 13: we have not seen significantly stronger than seasonal outlooks coming 472 00:25:12,760 --> 00:25:15,639 Speaker 13: into this iPhone launch, despite the reports that we have 473 00:25:15,680 --> 00:25:18,520 Speaker 13: been hearing that Apple iPhone shipments are preparing for five 474 00:25:18,600 --> 00:25:22,280 Speaker 13: to ten percent higher shipman volume this year now, twenty 475 00:25:22,359 --> 00:25:24,480 Speaker 13: twenty three was a down year, so we do expect 476 00:25:24,600 --> 00:25:26,720 Speaker 13: volumes to be higher because of that, but we are 477 00:25:26,760 --> 00:25:30,000 Speaker 13: not seeing anything out of ordinary from at least Broadcom. 478 00:25:30,119 --> 00:25:33,280 Speaker 6: Yesterday. I want to go to what sort of truest 479 00:25:33,359 --> 00:25:36,320 Speaker 6: securities are saying. I hope to name other people on 480 00:25:36,400 --> 00:25:38,840 Speaker 6: the street, congen because your expertise is so important to us, 481 00:25:38,880 --> 00:25:41,920 Speaker 6: But he's saying, basically, it's unpredictable. It's a lumpy when 482 00:25:41,960 --> 00:25:44,400 Speaker 6: it comes to AI revenue growth. Because as and when 483 00:25:44,440 --> 00:25:46,919 Speaker 6: we're going to get customers named, we were thinking there 484 00:25:46,960 --> 00:25:50,280 Speaker 6: might be more. When will we hear of actual customers 485 00:25:50,400 --> 00:25:51,760 Speaker 6: warning that chips made by Broadcom? 486 00:25:52,160 --> 00:25:54,440 Speaker 13: Well, at this point it's not clear, but you know 487 00:25:54,560 --> 00:25:58,119 Speaker 13: the fact about being it lumpy, that's true. However, does 488 00:25:58,440 --> 00:26:00,680 Speaker 13: that should not take away anything from the strength of 489 00:26:00,760 --> 00:26:01,120 Speaker 13: the growth. 490 00:26:01,760 --> 00:26:03,240 Speaker 8: We expect both the. 491 00:26:03,280 --> 00:26:06,760 Speaker 13: Ask and the connectivity businesses to grow even stronger next year. 492 00:26:07,080 --> 00:26:11,280 Speaker 13: And remember these are still very highly concentrated, few customers 493 00:26:11,359 --> 00:26:13,639 Speaker 13: three at this point, so you are going to expect 494 00:26:13,720 --> 00:26:16,439 Speaker 13: lumpiness from quarter to quarter as they adjust their timing 495 00:26:16,520 --> 00:26:17,800 Speaker 13: of purchases and buildouts. 496 00:26:18,800 --> 00:26:22,000 Speaker 6: We asked you yesterday a slightly unfair question, but I 497 00:26:22,119 --> 00:26:24,040 Speaker 6: ask it to you again because you are a fundamentally 498 00:26:24,359 --> 00:26:27,159 Speaker 6: driven person. But the market just seemed to be so 499 00:26:27,359 --> 00:26:30,080 Speaker 6: exuberant around these AI names. We've got a deja vu. 500 00:26:30,359 --> 00:26:33,240 Speaker 6: Nvidia sold off when its numbers were good, broadclm doing. 501 00:26:33,119 --> 00:26:35,840 Speaker 13: The same exactly. I mean, what we're seeing is even 502 00:26:35,960 --> 00:26:38,920 Speaker 13: solid or strong reports are not strong enough because the 503 00:26:39,000 --> 00:26:42,480 Speaker 13: expectations are just stronger higher than that. But I just 504 00:26:42,600 --> 00:26:45,040 Speaker 13: remind people to go back to fundamentals and see. We 505 00:26:45,119 --> 00:26:47,200 Speaker 13: saw the same thing again from Broadcom, we saw from 506 00:26:47,240 --> 00:26:50,320 Speaker 13: in media. The demand signals keep going stronger and stronger. 507 00:26:50,600 --> 00:26:53,600 Speaker 13: Their bookings and backlocks continue to increase. So there's no 508 00:26:53,800 --> 00:26:57,240 Speaker 13: such real fundamental risk factors here, especially when it comes 509 00:26:57,280 --> 00:26:58,040 Speaker 13: to AI chips. 510 00:26:58,560 --> 00:27:01,920 Speaker 6: Kanjan Sabani, thank you for your expertise being meg Intelligence. 511 00:27:02,520 --> 00:27:06,080 Speaker 6: Now let's talk about another chip name. Intel is considering 512 00:27:06,400 --> 00:27:09,560 Speaker 6: options for its stake and it's struggling automated driving systems 513 00:27:09,560 --> 00:27:12,880 Speaker 6: to provide a Mobili as part of a major strategy overhaul. 514 00:27:13,040 --> 00:27:15,200 Speaker 6: That's all according to sources who say the chip maker 515 00:27:15,400 --> 00:27:18,080 Speaker 6: could offload just some of its eighty eight percent holding 516 00:27:18,119 --> 00:27:20,920 Speaker 6: a Mobili on the public market or via sale to 517 00:27:20,960 --> 00:27:23,560 Speaker 6: a third party shares a mobili as you can see, 518 00:27:23,840 --> 00:27:27,760 Speaker 6: falling to a record loan in King joining us. The 519 00:27:27,920 --> 00:27:31,359 Speaker 6: nuance is important here Ian, but this is a company 520 00:27:31,440 --> 00:27:34,560 Speaker 6: struggling to do something to change its poor fortunes. 521 00:27:35,280 --> 00:27:36,199 Speaker 3: Yeah. Two things here. 522 00:27:36,520 --> 00:27:39,040 Speaker 4: First one is, let's put this in a world context. 523 00:27:39,160 --> 00:27:42,760 Speaker 4: Right Intel needs money to execute on. 524 00:27:43,119 --> 00:27:45,200 Speaker 3: This ambitious plan that it's put together. 525 00:27:45,480 --> 00:27:48,280 Speaker 4: Doesn't really have that amount of money from its operations 526 00:27:48,400 --> 00:27:52,040 Speaker 4: right now, is having to scale back some of the ambitions. 527 00:27:52,119 --> 00:27:54,920 Speaker 4: And it's also looking at, you know, other parts of 528 00:27:55,520 --> 00:27:58,280 Speaker 4: what it has and whether those can be monetized in 529 00:27:58,440 --> 00:28:01,920 Speaker 4: some way or find better value in some way. MOBILEI 530 00:28:02,040 --> 00:28:04,639 Speaker 4: would obviously be a part of that, and it's already 531 00:28:04,800 --> 00:28:08,119 Speaker 4: made moves in that direction, selling a stake in the 532 00:28:08,200 --> 00:28:10,879 Speaker 4: IPO and then selling a further steak. 533 00:28:11,040 --> 00:28:13,280 Speaker 3: But and the important but here is if you look 534 00:28:13,359 --> 00:28:16,680 Speaker 3: at where MOBILEI is a relative to what Intel. 535 00:28:16,440 --> 00:28:19,520 Speaker 4: Paid, which is considerably lower, it wouldn't make sense to 536 00:28:19,640 --> 00:28:22,800 Speaker 4: just be dumping it right now unless you could find 537 00:28:22,960 --> 00:28:25,399 Speaker 4: an individual seller that would be willing to pay the 538 00:28:25,480 --> 00:28:26,920 Speaker 4: price that you paid or better. 539 00:28:27,480 --> 00:28:29,320 Speaker 8: There are some basics that we should go over. 540 00:28:29,400 --> 00:28:32,119 Speaker 5: I think you know, Intel has been over a period 541 00:28:32,160 --> 00:28:36,040 Speaker 5: of time chipping away at its stake in mobili anyway. 542 00:28:36,680 --> 00:28:40,200 Speaker 5: But our understanding from sources in right is that Intel's 543 00:28:40,240 --> 00:28:42,360 Speaker 5: looking at a lot of different things, and I think 544 00:28:42,440 --> 00:28:45,120 Speaker 5: on the Mobilize side, you know, their board's got to 545 00:28:45,120 --> 00:28:47,600 Speaker 5: get together at some point embrace for something that might 546 00:28:47,680 --> 00:28:48,520 Speaker 5: potentially happen. 547 00:28:49,560 --> 00:28:49,760 Speaker 2: Yeah. 548 00:28:49,800 --> 00:28:54,240 Speaker 4: I mean again, putting Mobile in the general context of 549 00:28:54,320 --> 00:28:57,720 Speaker 4: Intel is probably the safest thing to do. 550 00:28:57,880 --> 00:29:02,240 Speaker 3: Here, what used to be called Terror another Intel acquisition. 551 00:29:02,680 --> 00:29:06,280 Speaker 4: They've already started to move that towards independent status. There 552 00:29:06,320 --> 00:29:10,480 Speaker 4: are other business divisions within Intel that perhaps aren't as 553 00:29:11,080 --> 00:29:12,960 Speaker 4: central to the care of what it does. 554 00:29:13,400 --> 00:29:16,680 Speaker 3: And you know, we had this FO this week talking 555 00:29:16,760 --> 00:29:17,360 Speaker 3: at a conference. 556 00:29:17,440 --> 00:29:20,240 Speaker 4: We had the CEO last week talking at a conference 557 00:29:20,280 --> 00:29:22,360 Speaker 4: on They're saying, look, we're looking at these things. 558 00:29:22,480 --> 00:29:23,960 Speaker 3: We want to be streamlined. 559 00:29:24,000 --> 00:29:29,040 Speaker 4: We want to be quicker to respond to the circumstances 560 00:29:29,080 --> 00:29:30,800 Speaker 4: that we're in and be able to make the kind 561 00:29:30,840 --> 00:29:33,520 Speaker 4: of decisions and rapidly deploy capital to make sure we 562 00:29:33,640 --> 00:29:38,200 Speaker 4: take hold of opportunities. At the same time, Mobilized not 563 00:29:38,320 --> 00:29:40,480 Speaker 4: in the great shape the old terror business is and 564 00:29:40,560 --> 00:29:44,000 Speaker 4: the fantastic shape. So it's a difficult set of circumstances 565 00:29:44,320 --> 00:29:47,160 Speaker 4: and they've not really made concrete decisions yet, is what 566 00:29:47,240 --> 00:29:49,600 Speaker 4: we've been made to understand. 567 00:29:49,760 --> 00:29:51,280 Speaker 6: I mean, this is a bad time to have to 568 00:29:51,360 --> 00:29:53,720 Speaker 6: offload Mobile. I when shares have been off by what's 569 00:29:53,760 --> 00:29:57,000 Speaker 6: seventy percent year to date, can you remind us of 570 00:29:57,080 --> 00:29:58,520 Speaker 6: the issues that are going on there? 571 00:29:59,160 --> 00:29:59,360 Speaker 14: Yeah? 572 00:29:59,400 --> 00:30:04,240 Speaker 4: I mean, anybody who has been playing into the auto 573 00:30:04,360 --> 00:30:08,000 Speaker 4: market going back two three years ago, was you were 574 00:30:08,080 --> 00:30:08,760 Speaker 4: a bell of the ball. 575 00:30:08,840 --> 00:30:09,720 Speaker 3: You were fantastic. 576 00:30:10,160 --> 00:30:12,520 Speaker 4: The whole world was going ev the whole world was 577 00:30:12,560 --> 00:30:14,960 Speaker 4: going self driving, we were going to have robot taxis 578 00:30:15,000 --> 00:30:19,560 Speaker 4: on every street corner. Clearly, what's happening and this, whether 579 00:30:19,600 --> 00:30:22,400 Speaker 4: your mobilize, whether you're Intel, whether you're in video, whether 580 00:30:22,440 --> 00:30:25,960 Speaker 4: you're anybody, that hasn't happened at the pace with which 581 00:30:26,240 --> 00:30:29,880 Speaker 4: some had projected. And Mobile has been a victim of 582 00:30:30,000 --> 00:30:32,160 Speaker 4: that kind of up and down cycle, and if you 583 00:30:32,240 --> 00:30:34,720 Speaker 4: look at you know it clearly has had a bad 584 00:30:35,120 --> 00:30:37,440 Speaker 4: particularly in the first quarter earnings. 585 00:30:37,000 --> 00:30:40,040 Speaker 3: Reports that have obviously dim sentiment considerably. 586 00:30:40,920 --> 00:30:44,600 Speaker 4: Long term, everybody believes in the direction that they're heading 587 00:30:44,640 --> 00:30:46,560 Speaker 4: in and believes that they have an important role to play, 588 00:30:46,640 --> 00:30:48,880 Speaker 4: but right now they're into. 589 00:30:48,800 --> 00:30:52,520 Speaker 5: Spot Bloombergsine and King along with the team reporting so 590 00:30:52,720 --> 00:30:56,040 Speaker 5: deeply on this thank you. In the chip sector, TSMC 591 00:30:56,440 --> 00:31:01,160 Speaker 5: achieved production yields and it's Arizona facility on par with 592 00:31:01,400 --> 00:31:05,120 Speaker 5: established plants back home, an early indicator that its Marquee 593 00:31:05,240 --> 00:31:08,440 Speaker 5: US project is on track to achieve its targets. That's 594 00:31:08,440 --> 00:31:12,080 Speaker 5: according to a source, TSMC had said it started engineering 595 00:31:12,120 --> 00:31:17,120 Speaker 5: wafer production in April with advanced four nanometer process technology, 596 00:31:17,160 --> 00:31:19,800 Speaker 5: and we've been tracking their progress there. I think, Caroline, 597 00:31:19,800 --> 00:31:22,680 Speaker 5: we should go back to what's happening in markets. And basically, 598 00:31:23,120 --> 00:31:27,080 Speaker 5: since we got those comments from fed Waller, bonds have rallied, 599 00:31:27,480 --> 00:31:30,760 Speaker 5: and despite a moment of relief, the story is still 600 00:31:30,800 --> 00:31:34,720 Speaker 5: equities under pressure with that pressure coming from technology, I think. 601 00:31:35,000 --> 00:31:37,080 Speaker 6: Yeah, if you're looking at some of the key points 602 00:31:37,160 --> 00:31:40,880 Speaker 6: drags on the SMP, it is currently no Surprise in 603 00:31:41,040 --> 00:31:44,000 Speaker 6: video dragging us down by some fourteen points. We've got 604 00:31:44,040 --> 00:31:46,480 Speaker 6: Broadcom dragging us lower. But then who's who of the 605 00:31:46,560 --> 00:31:51,120 Speaker 6: mags seven, Amazon, Microsoft, Tesla, Google, Meta, Apple, No wonder 606 00:31:51,200 --> 00:31:54,120 Speaker 6: you're seeing such a pressure across the board on the benchmarks. 607 00:31:54,320 --> 00:31:56,360 Speaker 6: And then this has been an ugly week. More broadly, 608 00:31:56,480 --> 00:31:58,720 Speaker 6: then aw's that one hundred having its worst week since 609 00:31:58,720 --> 00:31:59,600 Speaker 6: twenty twenty two. 610 00:32:00,560 --> 00:32:03,040 Speaker 5: And real quick just bitcoin for what it's worth, continuing 611 00:32:03,080 --> 00:32:05,800 Speaker 5: this slide down more than three percent below fifty five 612 00:32:05,880 --> 00:32:08,640 Speaker 5: thousand US dollars for token. Good job getting that up, guys, 613 00:32:08,680 --> 00:32:10,600 Speaker 5: I appreciate it. I went a little bit rogue there. 614 00:32:10,920 --> 00:32:14,000 Speaker 5: But there's a lot happening in real time on the week, 615 00:32:14,080 --> 00:32:16,560 Speaker 5: as you know, Carro a tough week broadly for risk. 616 00:32:16,400 --> 00:32:19,960 Speaker 6: Assets totally and volumes actually up on the SMP for 617 00:32:20,040 --> 00:32:21,960 Speaker 6: this Friday. But coming up, we want to dig into 618 00:32:22,000 --> 00:32:24,520 Speaker 6: the micro news again. A UK watchdog is sending a 619 00:32:24,600 --> 00:32:27,239 Speaker 6: warning to Google saying it abuses one area of its 620 00:32:27,280 --> 00:32:30,479 Speaker 6: business that accounts to eighty percent total revenue. You can 621 00:32:30,520 --> 00:32:47,840 Speaker 6: guess what it is. This is a blood technology. Now 622 00:32:47,920 --> 00:32:50,920 Speaker 6: the Biden administration is preparing strict to export rules for 623 00:32:51,120 --> 00:32:54,880 Speaker 6: quantum computing and semiconductive products. It's once again taking aim 624 00:32:55,000 --> 00:32:57,920 Speaker 6: at China Room Megs Mackenzie Hawkins joins us for more 625 00:32:58,120 --> 00:33:02,440 Speaker 6: and this is getting ever clutting edge. Mackenzie right. 626 00:33:02,560 --> 00:33:05,280 Speaker 14: So the rules that we saw the Baden administration released 627 00:33:05,320 --> 00:33:07,720 Speaker 14: yesterday as an interim final rule, meaning there's still a 628 00:33:07,760 --> 00:33:11,080 Speaker 14: comment period, nothing is quite set in stone. Are trying 629 00:33:11,120 --> 00:33:14,560 Speaker 14: to take aim at sort of the next generation of technologies, 630 00:33:14,640 --> 00:33:17,360 Speaker 14: looking at a chip architecture called gate all Around that's 631 00:33:17,400 --> 00:33:19,720 Speaker 14: expected to be widely introduced into the market next year, 632 00:33:20,160 --> 00:33:23,760 Speaker 14: as well as cutting edge quantum computing and computer components, 633 00:33:24,560 --> 00:33:27,360 Speaker 14: sort of trying to align with countries around the world 634 00:33:27,400 --> 00:33:30,960 Speaker 14: that have also introduced similar or in some cases identical 635 00:33:31,080 --> 00:33:35,320 Speaker 14: rules and by doing so limit themselves from the impact 636 00:33:35,400 --> 00:33:36,480 Speaker 14: of US export control. 637 00:33:36,560 --> 00:33:38,440 Speaker 11: So we have this sort of global coalition forming. 638 00:33:38,480 --> 00:33:40,800 Speaker 14: It includes the US, Japan, and the Netherlands, which are 639 00:33:40,840 --> 00:33:43,160 Speaker 14: home to key countries and the chip supply chain, as 640 00:33:43,200 --> 00:33:46,040 Speaker 14: well as other allies such as the UK, Canada. 641 00:33:45,720 --> 00:33:48,280 Speaker 8: And Italy. Mackenzie and your story. 642 00:33:48,920 --> 00:33:53,959 Speaker 5: You quote Alan Estevez, who runs the Commerce Department's Bureau 643 00:33:54,080 --> 00:33:57,080 Speaker 5: of Industry and Security, and in the quote he talks 644 00:33:57,080 --> 00:34:02,040 Speaker 5: about the alignment of controls being I'm going to read 645 00:34:02,080 --> 00:34:08,200 Speaker 5: it frankly difficult for our adversaries. So adversaries is different 646 00:34:08,400 --> 00:34:11,320 Speaker 5: kind of words competitives. Can you just explain the strategy 647 00:34:11,400 --> 00:34:12,000 Speaker 5: from the US. 648 00:34:12,719 --> 00:34:15,480 Speaker 14: So a lot of the US measures on chips and 649 00:34:15,600 --> 00:34:19,080 Speaker 14: other emerging technologies are specifically geared towards China as well 650 00:34:19,160 --> 00:34:22,239 Speaker 14: as Russia, North Korea and Iran. So we're talking about 651 00:34:22,280 --> 00:34:26,680 Speaker 14: geopolitical adversaries as opposed to just cutting edge technological rivals. 652 00:34:27,400 --> 00:34:28,960 Speaker 11: The US has companies that of. 653 00:34:29,000 --> 00:34:32,800 Speaker 14: Course have significant foreign rivals headquartered in US allied countries, 654 00:34:33,160 --> 00:34:35,200 Speaker 14: and this is not trying to get at those companies, 655 00:34:35,239 --> 00:34:39,200 Speaker 14: but rather at the ability of particularly Beijing, to develop 656 00:34:39,320 --> 00:34:42,320 Speaker 14: cutting edge technologies that Washington warriors could run China a 657 00:34:42,400 --> 00:34:45,520 Speaker 14: military edge. And the US has been leading this push 658 00:34:45,600 --> 00:34:48,319 Speaker 14: for several years. But you know, while this particular rule 659 00:34:48,400 --> 00:34:52,000 Speaker 14: is an example of pretty significant multilateral alignment, there are 660 00:34:52,040 --> 00:34:55,000 Speaker 14: also really difficult measures that the US is asking allied 661 00:34:55,040 --> 00:34:58,880 Speaker 14: governments to impose. Who are worried about retaliation from China 662 00:34:59,120 --> 00:35:01,840 Speaker 14: or don't necessary only buy into the same degree of 663 00:35:01,960 --> 00:35:04,960 Speaker 14: national security and geopolitical threat felt here in DC. 664 00:35:05,280 --> 00:35:08,680 Speaker 5: Bloomberg's Mackenzie Hawkins with more important reporting, thank you very 665 00:35:09,280 --> 00:35:12,880 Speaker 5: much from China to the United Kingdom. Britain's Competition and 666 00:35:13,040 --> 00:35:18,000 Speaker 5: Markets Authorities says Alphabet's Google is abusing its dominant position 667 00:35:18,239 --> 00:35:22,080 Speaker 5: in advertising technology, paving the way for potential finds and 668 00:35:22,280 --> 00:35:27,160 Speaker 5: changes to one of Google's most lucrative businesses. Bloomberg's Catherine 669 00:35:27,160 --> 00:35:30,920 Speaker 5: Gammill joins US and reported on the news the CMA 670 00:35:31,200 --> 00:35:34,480 Speaker 5: what is the basic conclusion that they've reached. 671 00:35:36,040 --> 00:35:39,759 Speaker 1: Yes, So today the CMA announced its statement of objections 672 00:35:39,800 --> 00:35:42,719 Speaker 1: that it's sent to Google. So these are preliminary findings 673 00:35:42,880 --> 00:35:46,680 Speaker 1: that Google has broken competition law here by using its 674 00:35:46,760 --> 00:35:50,520 Speaker 1: dominant market possession and the add tech sector to favor 675 00:35:50,520 --> 00:35:53,920 Speaker 1: its own services. So these preliminary findings are still at 676 00:35:53,920 --> 00:35:56,600 Speaker 1: the primary stage, but this basically means that Google's using 677 00:35:56,640 --> 00:35:59,839 Speaker 1: its powers to take the competition away, and it means 678 00:36:00,000 --> 00:36:04,200 Speaker 1: that you know, UK advertisers and other services are losing out. 679 00:36:04,120 --> 00:36:07,960 Speaker 6: Because of that. The CMA, it's got tathe, right, Catherine, 680 00:36:08,080 --> 00:36:09,280 Speaker 6: kind of exists some pressure. 681 00:36:11,000 --> 00:36:12,600 Speaker 1: Yeah, it does have teethe and we've seen that with 682 00:36:12,719 --> 00:36:14,960 Speaker 1: its recent probes over the years, and you know, it's 683 00:36:14,960 --> 00:36:18,680 Speaker 1: grown prominence. I think that it's really interesting that now 684 00:36:18,800 --> 00:36:22,279 Speaker 1: the UK has joined the EU and the US and 685 00:36:22,400 --> 00:36:25,640 Speaker 1: these similar probes. And on Monday we've got the DJ's 686 00:36:25,719 --> 00:36:28,640 Speaker 1: case against Google for ad tech and last year as 687 00:36:28,680 --> 00:36:31,640 Speaker 1: well in Europe we got these charges laid out on 688 00:36:31,680 --> 00:36:34,320 Speaker 1: the ad tech sector. So, you know, Google is in 689 00:36:34,400 --> 00:36:36,799 Speaker 1: a bit of trouble here because it's got three major 690 00:36:36,840 --> 00:36:38,840 Speaker 1: global regulators that are on its back for this. 691 00:36:39,840 --> 00:36:43,560 Speaker 6: It's in trouble because also it could be fined quite 692 00:36:43,560 --> 00:36:46,360 Speaker 6: a lot of money. I just want to go into 693 00:36:46,440 --> 00:36:49,360 Speaker 6: what Google's actual responses said, Catherine, what have they told you, 694 00:36:49,440 --> 00:36:53,520 Speaker 6: because ultimately they dispute it. Yeah, one hundred percent. 695 00:36:53,600 --> 00:36:56,719 Speaker 1: So Google's response today was that the cmea's findings are 696 00:36:56,760 --> 00:36:59,160 Speaker 1: based on flawed understanding of the markets. 697 00:36:59,360 --> 00:37:01,360 Speaker 6: It said, it's this agreed and it will respond to this. 698 00:37:01,840 --> 00:37:04,240 Speaker 1: So at this stage with the statement of objections, Google 699 00:37:04,280 --> 00:37:06,640 Speaker 1: can respond and then the cme will then come to 700 00:37:06,680 --> 00:37:10,200 Speaker 1: a final conclusion from a separate panel. After that, in 701 00:37:10,320 --> 00:37:13,640 Speaker 1: the UK, findings from these sorts of investigations it can 702 00:37:13,760 --> 00:37:15,480 Speaker 1: be up to ten percent of global turnover. 703 00:37:15,800 --> 00:37:16,960 Speaker 6: That's a really extreme end. 704 00:37:17,600 --> 00:37:20,160 Speaker 1: Or they can also, you know, offer other sort of 705 00:37:20,280 --> 00:37:22,280 Speaker 1: remedies that might be able to solve this issue. 706 00:37:22,320 --> 00:37:23,239 Speaker 6: Whatever issue have got. 707 00:37:23,560 --> 00:37:24,960 Speaker 1: I mean, it is worth bearing in the mind of 708 00:37:25,000 --> 00:37:27,719 Speaker 1: the US and the EU have both said that they 709 00:37:27,760 --> 00:37:28,920 Speaker 1: would like divestments of. 710 00:37:30,400 --> 00:37:31,839 Speaker 6: Google's ad tech as well. 711 00:37:33,160 --> 00:37:35,759 Speaker 5: I've heard this before, sort of Google basically saying, you 712 00:37:35,880 --> 00:37:39,279 Speaker 5: don't understand the market that you're trying to address, but 713 00:37:39,400 --> 00:37:41,520 Speaker 5: there are other participants in the market. I'm assuming the 714 00:37:41,600 --> 00:37:45,879 Speaker 5: CMA spoke to the advertisers themselves what's their position. 715 00:37:45,640 --> 00:37:46,080 Speaker 8: In all of it. 716 00:37:47,640 --> 00:37:49,160 Speaker 1: Yeah, so, I mean this has been a long run 717 00:37:49,239 --> 00:37:53,160 Speaker 1: in investigation from the CME. These competition sort of probes 718 00:37:53,200 --> 00:37:55,239 Speaker 1: can go on for years. This one has been going 719 00:37:55,280 --> 00:37:57,320 Speaker 1: on for two years, and the CMA does talk to 720 00:37:57,320 --> 00:38:02,280 Speaker 1: a broad range of market participants. We didn't get specifics 721 00:38:02,320 --> 00:38:05,279 Speaker 1: on that today, but that's something that they've they've brought 722 00:38:05,320 --> 00:38:08,520 Speaker 1: up previously in their studies on digital advertisement and other 723 00:38:08,640 --> 00:38:09,200 Speaker 1: things as well. 724 00:38:10,120 --> 00:38:12,600 Speaker 8: Bloomberg's Catherine Gemmel out of London, thank you very much. 725 00:38:12,719 --> 00:38:15,279 Speaker 5: Let's get to another story that we're watching, and that's 726 00:38:15,400 --> 00:38:19,560 Speaker 5: dark Trace CEO Poppy Gustaffson will be leaving the British 727 00:38:19,560 --> 00:38:23,759 Speaker 5: cybersecurity firm effective today. This is the company gets absorbed 728 00:38:24,080 --> 00:38:27,959 Speaker 5: by pe firm Toma Bravo. Gustavhfsen co founded dark Trace 729 00:38:28,040 --> 00:38:30,960 Speaker 5: more than a decade ago and helped to position the 730 00:38:31,000 --> 00:38:33,600 Speaker 5: company for its IPO in twenty twenty one, as well 731 00:38:33,600 --> 00:38:36,480 Speaker 5: as its ultimate sale to Toma Bravo in April. 732 00:38:44,000 --> 00:38:47,000 Speaker 6: Apple has greenlitter version of ten cents we chat app 733 00:38:47,239 --> 00:38:50,120 Speaker 6: ahead of the company's I Phoned sixteen debut. Now the 734 00:38:50,200 --> 00:38:53,360 Speaker 6: tech giant approved and update that as new features like 735 00:38:53,520 --> 00:38:56,360 Speaker 6: moments and live streaming to the app. That's according to sources. 736 00:38:56,440 --> 00:38:59,359 Speaker 6: The approval taps down some speculation of a dispute between 737 00:38:59,360 --> 00:39:02,480 Speaker 6: the two companies over app store fees, with many believing 738 00:39:02,600 --> 00:39:05,560 Speaker 6: it could have smoothalled to a potential WeChat ban from 739 00:39:05,600 --> 00:39:07,160 Speaker 6: the latest iPhones ed. 740 00:39:08,000 --> 00:39:10,319 Speaker 5: One of the most well read stories on bloomberg dot 741 00:39:10,360 --> 00:39:13,279 Speaker 5: com this morning, Let's talk more about Apple. Apple is 742 00:39:13,400 --> 00:39:16,120 Speaker 5: holding a product launch event at its head courses on Monday, 743 00:39:16,160 --> 00:39:19,600 Speaker 5: where it's set to announce details of the iPhone sixteen 744 00:39:19,920 --> 00:39:23,000 Speaker 5: and some other new devices. Bloomberg's Mark Gunman has already 745 00:39:23,080 --> 00:39:25,960 Speaker 5: reported on and told us what to expect. But it's 746 00:39:26,040 --> 00:39:30,080 Speaker 5: work going back to the iPhone sixteen. What's different? That's 747 00:39:30,120 --> 00:39:33,080 Speaker 5: the question every year, what's actually going to make me 748 00:39:33,200 --> 00:39:34,520 Speaker 5: upgrade this time around? 749 00:39:35,080 --> 00:39:37,920 Speaker 15: Well, if you have an iPhone fifteen Pro or Promax, 750 00:39:38,120 --> 00:39:40,920 Speaker 15: I don't necessarily think you're going to upgrade this year 751 00:39:40,960 --> 00:39:42,719 Speaker 15: unless you get a pretty good deal or you're on 752 00:39:42,760 --> 00:39:43,520 Speaker 15: an upgrade path. 753 00:39:43,719 --> 00:39:43,839 Speaker 12: Right. 754 00:39:44,480 --> 00:39:46,600 Speaker 15: The changes here are going to be on the more 755 00:39:46,760 --> 00:39:49,920 Speaker 15: incremental side. We're going to focus on Apple Intelligence, which 756 00:39:49,960 --> 00:39:54,040 Speaker 15: of course the fifteen Pro in promacs will already support, 757 00:39:54,960 --> 00:39:57,360 Speaker 15: and then there's also going to be some major upgrades 758 00:39:57,400 --> 00:39:59,560 Speaker 15: on the camera. The ultra wide lens is. 759 00:39:59,560 --> 00:40:03,080 Speaker 6: Going to move to a forty eight megapixel to match. 760 00:40:03,239 --> 00:40:04,160 Speaker 11: The standard lens. 761 00:40:04,600 --> 00:40:06,400 Speaker 15: But if you're coming from an older phone, if you're 762 00:40:06,400 --> 00:40:09,880 Speaker 15: coming from a fourteen or earlier, getting Apple Intelligence, getting 763 00:40:09,920 --> 00:40:13,279 Speaker 15: those new cameras, getting the Titanium, those who are going 764 00:40:13,320 --> 00:40:15,200 Speaker 15: to be some nice upgrades. There's going to be some 765 00:40:15,320 --> 00:40:18,839 Speaker 15: new callers as well. The most significant feature is going 766 00:40:18,920 --> 00:40:21,040 Speaker 15: to be a new camera button on the right side 767 00:40:21,080 --> 00:40:23,799 Speaker 15: of the phone, next below the power button that you'll 768 00:40:23,840 --> 00:40:24,320 Speaker 15: be able. 769 00:40:24,200 --> 00:40:25,840 Speaker 8: To use take pictures and videos. 770 00:40:26,080 --> 00:40:28,520 Speaker 15: It's going to be capacitive, so you can swipe on 771 00:40:28,640 --> 00:40:31,479 Speaker 15: it to zoom in and out, move between still and video. 772 00:40:32,400 --> 00:40:34,080 Speaker 15: So that's going to be a nice upgrade there. So 773 00:40:34,160 --> 00:40:37,920 Speaker 15: it's really all about AI and the camera. The bigger changes, 774 00:40:37,920 --> 00:40:39,680 Speaker 15: of course, will come to the Apple Watch. 775 00:40:39,560 --> 00:40:40,360 Speaker 8: And the AirPods. 776 00:40:41,040 --> 00:40:43,520 Speaker 6: Bless you, Mark and just talk us about the air 777 00:40:43,600 --> 00:40:46,200 Speaker 6: pods and the Watch. What do we anticipate there, how 778 00:40:46,280 --> 00:40:47,000 Speaker 6: big a change. 779 00:40:48,480 --> 00:40:51,759 Speaker 15: So this is going to actually be the ten year 780 00:40:51,840 --> 00:40:55,280 Speaker 15: anniversary to the date of the original Apple Watch introduction 781 00:40:55,360 --> 00:40:58,799 Speaker 15: in twenty fourteen, and you're going to see a new 782 00:40:58,920 --> 00:41:01,279 Speaker 15: series ten Watch. It's going to have displays, it's a 783 00:41:01,320 --> 00:41:04,359 Speaker 15: little bit bigger. You're going to see faster processors. You're 784 00:41:04,400 --> 00:41:07,239 Speaker 15: going to see sleep apnea detection as a major new 785 00:41:07,280 --> 00:41:09,800 Speaker 15: health feature. You're also going to see that sleep appne 786 00:41:09,960 --> 00:41:12,359 Speaker 15: detection come to the Apple Watch Ultra, though that will 787 00:41:12,400 --> 00:41:15,600 Speaker 15: retain the same design that's been running since the introduction 788 00:41:15,680 --> 00:41:19,400 Speaker 15: in twenty twenty two. AirPods Apples revamping the low end 789 00:41:19,440 --> 00:41:21,000 Speaker 15: of the line, so you're going to see a new 790 00:41:21,160 --> 00:41:24,839 Speaker 15: entry level and mid tier AirPods bringing noise cancelation down 791 00:41:24,880 --> 00:41:26,719 Speaker 15: the line from the pro models for the first time. 792 00:41:27,160 --> 00:41:28,840 Speaker 15: You're going to see quite a boost there to Apples 793 00:41:28,880 --> 00:41:31,520 Speaker 15: for Wearable's business between the new watches and the new AirPods, 794 00:41:32,080 --> 00:41:34,239 Speaker 15: and I think that's going to be quite exciting for 795 00:41:34,360 --> 00:41:36,960 Speaker 15: customers who have been waiting for a new version of 796 00:41:37,000 --> 00:41:37,520 Speaker 15: the AirPods. 797 00:41:38,239 --> 00:41:42,080 Speaker 6: It happened, Mark German, we embrace ourselves. Thank you. Let's 798 00:41:42,120 --> 00:41:44,040 Speaker 6: also just check in on these markets. It is an 799 00:41:44,160 --> 00:41:47,520 Speaker 6: ugly finish to an ugly week, and Nvidia the biggest 800 00:41:47,520 --> 00:41:50,040 Speaker 6: points drag on the benchmarks right now we're seeing off 801 00:41:50,080 --> 00:41:52,160 Speaker 6: by more than five percent. We are now just a 802 00:41:52,239 --> 00:41:55,160 Speaker 6: two and a half trillion dollar company. Folks. Broadcom is 803 00:41:55,200 --> 00:41:57,000 Speaker 6: off by nine percent, and this is the worst day 804 00:41:57,040 --> 00:41:59,520 Speaker 6: for Wallcom since March twenty twenty. 805 00:42:00,160 --> 00:42:03,200 Speaker 5: Socks also ugly, s and P five hundred down the 806 00:42:03,280 --> 00:42:06,680 Speaker 5: most since I think March of twenty three. Na's that 807 00:42:06,800 --> 00:42:11,200 Speaker 5: one hundred worse week since November of twenty two, in 808 00:42:11,320 --> 00:42:14,600 Speaker 5: Vidia having its worst week since September of twenty twenty two. 809 00:42:14,960 --> 00:42:17,400 Speaker 5: The story we're writing about Carr, though, is that you know, 810 00:42:17,600 --> 00:42:20,480 Speaker 5: technology is under pressure in spite of and on top 811 00:42:20,560 --> 00:42:23,320 Speaker 5: of the economic data in the Fed speet we got today. 812 00:42:24,480 --> 00:42:26,400 Speaker 8: Ugly, I think is a fair word to use. 813 00:42:26,960 --> 00:42:29,480 Speaker 6: And put it into context. These are stocks that have 814 00:42:29,600 --> 00:42:32,360 Speaker 6: run up more than a one hundred percent over the 815 00:42:32,400 --> 00:42:34,279 Speaker 6: course of the year to date, so we have to 816 00:42:34,320 --> 00:42:36,360 Speaker 6: acknowledge that. But when you get a four hundred and 817 00:42:36,440 --> 00:42:39,520 Speaker 6: thirty three billion dollar erosion in market cap in five 818 00:42:39,600 --> 00:42:42,640 Speaker 6: days alone, that matters to everyone who has a four 819 00:42:42,680 --> 00:42:45,360 Speaker 6: at one K who is exposed to these sorts of benchmarks. 820 00:42:46,560 --> 00:42:48,320 Speaker 8: Just one quick comment on Nvidia. 821 00:42:48,560 --> 00:42:50,600 Speaker 5: Look at the number of retail investors that have gone 822 00:42:50,640 --> 00:42:52,560 Speaker 5: into that name and then think about that on a 823 00:42:52,640 --> 00:42:53,799 Speaker 5: week or a day like today. 824 00:42:54,000 --> 00:42:57,279 Speaker 6: Incredible and those that are two x leveraged. That does 825 00:42:57,320 --> 00:43:00,239 Speaker 6: it for this edition. Of Bloomberg Technology have. 826 00:43:00,320 --> 00:43:02,480 Speaker 8: To say, what a Friday show. It's been. Recap on 827 00:43:02,520 --> 00:43:02,960 Speaker 8: the podcast. 828 00:43:03,040 --> 00:43:06,000 Speaker 5: You know where to find it, Apple, Spotify, iHeart and 829 00:43:06,040 --> 00:43:08,960 Speaker 5: of course we publish it all over the Bloomberg platforms. 830 00:43:09,000 --> 00:43:11,320 Speaker 5: Thank you to everyone in New York and in San Francisco. 831 00:43:11,440 --> 00:43:13,120 Speaker 5: This is Bloomberg Technology.